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OPHID Data Intelligence Platform

Origin language: English
Cover image
Target population
Health professional / health structure
Beneficiaries500001 - 1M
EvidenceBoth
Start date2023/05
End dateOngoing
StageRoutine project/operational
Country
Zimbabwe
Coverage
National
Nb of implementation sites
335
Lead organization
Implementation partners
N/A

Health Focus Area
Cancer
Sexual and Reproductive Health
Communicable diseases
Non-communicable diseases (NCDs)
Maternal and child health
Primary Health Care
Services
Public health and disease surveillance
Health Management Information Systems (HMIS)
Others
Decision Support
Enabling technologies
N/A
Standards
HL7 v2
HL7 FHIR
JSON
Excel
ICD-10
Tools
Funding sources
Donors
Others
Business model
Others
No business model
Funders
N/A
Summary
The project aims to implement a modular, automated data intelligence platform that revolutionizes the engagement of frontline health workers and program managers with routine health data within Zimbabwe's HIV program. By automating data cleaning, analysis, and reporting, the initiative will significantly decrease manual workloads and eliminate unnecessary data entry, allowing health workers to concentrate on service delivery and enabling program managers to make timely, evidence-based decisions. The platform seeks to enhance data quality, timeliness, and utilization by automating routine reporting processes for health workers and managers by 2024, focusing on various health areas including communicable diseases, sexual and reproductive health, cancer, primary health care, maternal and child health, and non-communicable diseases (NCDs), targeting health professionals and health structures.
Keywords
Digital health solutions
Data integration and management
Analytics
Digital health platform
Digital health interventions
Publications
Insights - Lessons learnt
Challenges
Challenges: Initial resistance to change, variable internet access, fragmented stakeholder data needs, and low baseline digital literacy.
Recommendations
Positive Factors: Institutional realignment, national policy support for digital health, and high demand from new programmes. Recommendations: Embed developers within programme teams, ensure phased rollouts with feedback loops, prioritise interoperability, and invest in user-centred capacity building. Implications: Aligning digital health solutions with national strategies and user workflows is essential for sustainable scale-up and system-wide adoption.
Recommendations
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Any additional questions?
iDHA (Project ID)
7pwjjd
Project links
N/A
Origin of information
Project stakeholder
Data source link
N/A
Added to the platform on
2025-04-29
Project editors
Last update by
Aziza Merzouki on 2025-05-09
Number of views
473
WHO classifications
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